Enhancement of Anomalous Data Mining in Power System Predicting-Aided State Estimation

Shyh Jier Huang, Jeu Min Lin

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

An approach for predicting-aided state estimation including bad data mining in a power system is proposed in this paper. In the method, the sliding surface-enhanced fuzzy control and optimal cluster numbers estimation techniques are both employed for the enhancement of state estimation. This proposed approach has been applied to test systems. Test results reveal the feasibility of the method for the applications considered.

Original languageEnglish
Pages (from-to)610-619
Number of pages10
JournalIEEE Transactions on Power Systems
Volume19
Issue number1
DOIs
Publication statusPublished - 2004 Feb

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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